mirror of
https://github.com/Relintai/pandemonium_engine.git
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205 lines
9.9 KiB
C++
205 lines
9.9 KiB
C++
/***********************************************************************
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Copyright (c) 2006-2011, Skype Limited. All rights reserved.
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Redistribution and use in source and binary forms, with or without
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modification, are permitted provided that the following conditions
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are met:
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- Redistributions of source code must retain the above copyright notice,
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this list of conditions and the following disclaimer.
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- Redistributions in binary form must reproduce the above copyright
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notice, this list of conditions and the following disclaimer in the
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documentation and/or other materials provided with the distribution.
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- Neither the name of Internet Society, IETF or IETF Trust, nor the
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names of specific contributors, may be used to endorse or promote
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products derived from this software without specific prior written
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permission.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
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LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
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ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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POSSIBILITY OF SUCH DAMAGE.
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***********************************************************************/
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#ifndef SILK_SIGPROC_FLP_H
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#define SILK_SIGPROC_FLP_H
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#include "SigProc_FIX.h"
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#include "float_cast.h"
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#include <math.h>
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#ifdef __cplusplus
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extern "C"
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{
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#endif
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/********************************************************************/
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/* SIGNAL PROCESSING FUNCTIONS */
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/********************************************************************/
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/* Chirp (bw expand) LP AR filter */
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void silk_bwexpander_FLP(
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silk_float *ar, /* I/O AR filter to be expanded (without leading 1) */
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const opus_int d, /* I length of ar */
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const silk_float chirp /* I chirp factor (typically in range (0..1) ) */
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);
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/* compute inverse of LPC prediction gain, and */
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/* test if LPC coefficients are stable (all poles within unit circle) */
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/* this code is based on silk_FLP_a2k() */
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silk_float silk_LPC_inverse_pred_gain_FLP( /* O return inverse prediction gain, energy domain */
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const silk_float *A, /* I prediction coefficients [order] */
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opus_int32 order /* I prediction order */
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);
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silk_float silk_schur_FLP( /* O returns residual energy */
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silk_float refl_coef[], /* O reflection coefficients (length order) */
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const silk_float auto_corr[], /* I autocorrelation sequence (length order+1) */
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opus_int order /* I order */
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);
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void silk_k2a_FLP(
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silk_float *A, /* O prediction coefficients [order] */
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const silk_float *rc, /* I reflection coefficients [order] */
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opus_int32 order /* I prediction order */
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);
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/* Solve the normal equations using the Levinson-Durbin recursion */
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silk_float silk_levinsondurbin_FLP( /* O prediction error energy */
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silk_float A[], /* O prediction coefficients [order] */
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const silk_float corr[], /* I input auto-correlations [order + 1] */
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const opus_int order /* I prediction order */
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);
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/* compute autocorrelation */
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void silk_autocorrelation_FLP(
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silk_float *results, /* O result (length correlationCount) */
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const silk_float *inputData, /* I input data to correlate */
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opus_int inputDataSize, /* I length of input */
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opus_int correlationCount /* I number of correlation taps to compute */
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);
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opus_int silk_pitch_analysis_core_FLP( /* O Voicing estimate: 0 voiced, 1 unvoiced */
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const silk_float *frame, /* I Signal of length PE_FRAME_LENGTH_MS*Fs_kHz */
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opus_int *pitch_out, /* O Pitch lag values [nb_subfr] */
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opus_int16 *lagIndex, /* O Lag Index */
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opus_int8 *contourIndex, /* O Pitch contour Index */
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silk_float *LTPCorr, /* I/O Normalized correlation; input: value from previous frame */
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opus_int prevLag, /* I Last lag of previous frame; set to zero is unvoiced */
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const silk_float search_thres1, /* I First stage threshold for lag candidates 0 - 1 */
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const silk_float search_thres2, /* I Final threshold for lag candidates 0 - 1 */
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const opus_int Fs_kHz, /* I sample frequency (kHz) */
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const opus_int complexity, /* I Complexity setting, 0-2, where 2 is highest */
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const opus_int nb_subfr, /* I Number of 5 ms subframes */
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int arch /* I Run-time architecture */
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);
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void silk_insertion_sort_decreasing_FLP(
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silk_float *a, /* I/O Unsorted / Sorted vector */
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opus_int *idx, /* O Index vector for the sorted elements */
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const opus_int L, /* I Vector length */
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const opus_int K /* I Number of correctly sorted positions */
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);
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/* Compute reflection coefficients from input signal */
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silk_float silk_burg_modified_FLP( /* O returns residual energy */
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silk_float A[], /* O prediction coefficients (length order) */
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const silk_float x[], /* I input signal, length: nb_subfr*(D+L_sub) */
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const silk_float minInvGain, /* I minimum inverse prediction gain */
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const opus_int subfr_length, /* I input signal subframe length (incl. D preceding samples) */
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const opus_int nb_subfr, /* I number of subframes stacked in x */
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const opus_int D /* I order */
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);
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/* multiply a vector by a constant */
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void silk_scale_vector_FLP(
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silk_float *data1,
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silk_float gain,
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opus_int dataSize
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);
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/* copy and multiply a vector by a constant */
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void silk_scale_copy_vector_FLP(
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silk_float *data_out,
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const silk_float *data_in,
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silk_float gain,
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opus_int dataSize
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);
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/* inner product of two silk_float arrays, with result as double */
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double silk_inner_product_FLP(
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const silk_float *data1,
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const silk_float *data2,
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opus_int dataSize
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);
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/* sum of squares of a silk_float array, with result as double */
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double silk_energy_FLP(
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const silk_float *data,
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opus_int dataSize
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);
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/********************************************************************/
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/* MACROS */
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/********************************************************************/
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#define PI (3.1415926536f)
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#define silk_min_float( a, b ) (((a) < (b)) ? (a) : (b))
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#define silk_max_float( a, b ) (((a) > (b)) ? (a) : (b))
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#define silk_abs_float( a ) ((silk_float)fabs(a))
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/* sigmoid function */
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static OPUS_INLINE silk_float silk_sigmoid( silk_float x )
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{
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return (silk_float)(1.0 / (1.0 + exp(-x)));
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}
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/* floating-point to integer conversion (rounding) */
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static OPUS_INLINE opus_int32 silk_float2int( silk_float x )
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{
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return (opus_int32)float2int( x );
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}
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/* floating-point to integer conversion (rounding) */
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static OPUS_INLINE void silk_float2short_array(
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opus_int16 *out,
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const silk_float *in,
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opus_int32 length
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)
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{
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opus_int32 k;
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for( k = length - 1; k >= 0; k-- ) {
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out[k] = silk_SAT16( (opus_int32)float2int( in[k] ) );
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}
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}
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/* integer to floating-point conversion */
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static OPUS_INLINE void silk_short2float_array(
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silk_float *out,
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const opus_int16 *in,
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opus_int32 length
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)
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{
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opus_int32 k;
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for( k = length - 1; k >= 0; k-- ) {
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out[k] = (silk_float)in[k];
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}
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}
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/* using log2() helps the fixed-point conversion */
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static OPUS_INLINE silk_float silk_log2( double x )
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{
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return ( silk_float )( 3.32192809488736 * log10( x ) );
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}
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#ifdef __cplusplus
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}
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#endif
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#endif /* SILK_SIGPROC_FLP_H */
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